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Staff Software Engineer - IAM

Added
21 days ago
Type
Full time
Salary
Not Specified

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Overview

Databricks is hiring a Staff Software Engineer - IAM to design, build, and scale identity and access management capabilities for the Databricks platform. Based in Mountain View, California, you will help secure data and resources across cloud providers and the Unity Catalog, partnering with security, platform, and product teams to deliver robust authentication and authorization solutions.

Your Role

Lead the design and development of scalable IAM services, drive security-conscious architecture, and mentor other engineers. You will define authentication, authorization, and policy enforcement mechanisms that enable secure, compliant access to data and resources across multi-cloud environments.

Responsibilities

  • Design, implement, and operate scalable IAM services for authentication, authorization, and policy enforcement across the Databricks platform
  • Implement and evolve IAM protocols and standards (OAuth2/OIDC, SAML, SCIM) and model access control (RBAC/ABAC)
  • Collaborate with security, platform, and product teams to ensure security, reliability, and compliance at scale
  • Mentor and lead engineers, review code, and participate in architecture reviews
  • Improve performance, reliability, and security of identity systems; participate in on-call and incident response when needed
  • Contribute to security best practices, auditing, and governance across cloud environments

Qualifications

  • 8+ years of software engineering experience with a track record in distributed systems
  • Deep expertise in IAM protocols: OAuth2/OIDC, SAML, and related standards
  • Strong understanding of RBAC and ABAC access control models
  • Proficiency in Java and Python; experience with Scala is a plus
  • Hands-on experience with cloud providers (AWS/Azure/GCP) and container orchestration (Kubernetes)
  • Excellent collaboration, communication, and leadership skills

Why Databricks

Join a fast-growing, security-focused team at a company known for accelerating data science and engineering across the world. You will work on impactful problems and help shape the security foundation of a scalable data platform.

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